Multi-View Learning Via Low-Rank Tensor Optimization.
Lele FuZhaoliang ChenSujia HuangSheng HuangShiping WangPublished in: ICME (2021)
Keyphrases
- low rank
- trace norm
- multi view learning
- high order
- semi supervised
- tensor decomposition
- convex optimization
- missing data
- matrix completion
- multi task learning
- low rank matrix
- linear combination
- multi task
- matrix factorization
- norm minimization
- multi view
- higher order
- singular value decomposition
- semi supervised learning
- unlabeled data
- high dimensional data
- small number
- transfer learning
- co training
- feature extraction
- collaborative filtering
- nearest neighbor
- active learning
- data analysis
- pattern recognition